TABLE 4:

Model estimates of the associations of school food and drink availability (frequency), the school neighborhood food environment (count of total food outlets within 1 km and 5 km), and their interaction with student BMI (kg/m²)

	School food and drink availability1
	FV	Snacks	Soda
	Student BMI (kg/m2)
Independent variables	β (95% Cl)	β (95% Cl)	β (95% Cl)
Model 1: 1 km school food environment
School availability	0.14 (−0.12, 0.41)	−0.08 (−0.34, 0.19)	0.10 (−0.43, 0.63)
All food outlets	0.01(−0.07, 0.10)	−0.001 (−0.03, 0.03)	−0.002 (−0.03, 0.02)
School availability *All food outlets	−0.002 (−0.01, 0.01)	−0.00001 (−0.02, 0.02)	−0.01 (−0.03, 0.02)
Model 2: 5 km school food environment
School availability	0.17 (0.10, 0.44)	−0.06 (−0.32, 0.21)	0.14 (−0.39, 0.68)
All food outlets	0.002 (−0.23, 0.53)	0.0002 (−0.002, 0.002)	−0.0001 (−0.002, 0.002)
School availability *All food outlets	−0.0003 (−0.09, 0.03)	−0.0002 (−0.001, 0.001)	−0.001 (−0.003, 0.001)

¹School availability of the food group corresponding to the outcome variable (e.g., school fruit and vegetable availability with student fruit and vegetable intake frequency). FV availability score ranges from 0 (no fruits, vegetables or 100% fruit juice offered any day) to 6 (fruits, vegetables and 100% fruit juice offered every day); snacks availability score ranges from 0 (no chocolate and candy, salty snacks or sweet snacks offered any day) to 6 (chocolate and candy, salty snacks and sweet snacks offered every day); soda availability score ranges from 0 (no soda offered any day) to 2 (soda offered every day). Snack intake measured at wave 2; all others measured at wave 1 (baseline).

Linear mixed models were used to calculate estimates.

Models adjusted for race/ethnicity (ref=white), parent education (ref=high school or less), family affluence (ref=low affluence), neighborhood land use mix, neighborhood population density, and neighborhood poverty rate.

^*p < 0.05